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## v tibble 3.0.3 v dplyr 1.0.2
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## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()library(p8105.datasets)
library(plotly)## Warning: package 'plotly' was built under R version 4.0.3##
## Attaching package: 'plotly'## The following object is masked from 'package:ggplot2':
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## layoutdata("instacart")
instacart1 =
instacart %>%
select(order_id, product_id, user_id, order_dow, order_hour_of_day, days_since_prior_order, product_name, aisle_id, aisle, department_id, department) %>%
sample_n(5000)instacart1 %>%
group_by(department) %>%
count(aisle) %>%
mutate(department = factor(department),
department = fct_reorder(department, n)) %>%
plot_ly(
x = ~department, y = ~n, color = ~department, type = "bar",
colors = "viridis"
)## Warning: `arrange_()` is deprecated as of dplyr 0.7.0.
## Please use `arrange()` instead.
## See vignette('programming') for more help
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_warnings()` to see where this warning was generated.why cannot order department by number of aisles?
instacart1 %>%
count(aisle) %>%
mutate(aisle = factor(aisle),
aisle = fct_reorder(aisle, n)) %>%
plot_ly(
x = ~aisle, y = ~n, color = ~aisle, type = "bar",
colors = "viridis"
)instacart1 %>%
mutate(department = factor(department),
department = fct_reorder(department, order_hour_of_day)) %>%
plot_ly(
x = ~department, y = ~order_hour_of_day, color = ~department, type = "box",
colors = "viridis"
)